Enterprise Applications Developer 3

Ohio State University

Columbus (OH)

Hybrid

USD 105,000 - 140,000

Full time

14 days+
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Job summary

Ohio State University in Columbus seeks an Enterprise Applications Developer 3 to design and implement enterprise-grade biomedical and health sciences software. You will build backend services and data pipelines, with frontend work for researchers and operational staff.

The role requires 5+ years in software and data engineering, with Python/Java and SQL, and cloud/HPC experience in healthcare environments. Hybrid work model with occasional travel to campus locations.

Qualifications

  • Bachelor’s degree in Computer Science, Data Science, Software Engineering, Data Engineering, Health Informatics, or related field.
  • 5 years of combined professional experience in software development and data engineering, including building secure, scalable apps and pipelines.
  • Experience with Python/Java and SQL on large datasets in enterprise biomedical research or healthcare environments.

Responsibilities

  • Design, develop, and optimize secure, scalable biomedical research and health sciences applications at enterprise scale.
  • Perform software and data engineering supporting translational and biomedical research via robust platforms.
  • Serve as a technical contributor for enterprise-grade healthcare and research software, APIs, and services.
  • Build scalable backend services integrating with large data platforms and create frontend apps for researchers and stakeholders.
  • Design, build, and maintain production-grade data engineering solutions for healthcare and research use cases.
  • Develop secure, scalable ETL/ELT pipelines for ingesting and transforming large datasets using modern architectures.
  • Leverage Databricks to process large-scale batch and streaming workloads using Python and SQL.
  • Develop and support solutions across Azure, AWS, Databricks, Fabric and HPC environments.
  • Collaborate with DevOps to configure, deploy, and operate apps and data pipelines in hybrid environments.
  • Stay current with emerging technologies and best practices.

Skills

Python
Java
SQL
Data Engineering
Cloud Platforms
Distributed Computing
ETL/ELT
HPC

Education

Bachelor’s degree in Computer Science or related field

Tools

Databricks
Azure
AWS
Fabric

Job description

Job Title: Enterprise Applications Developer 3

Enterprise Applications Developer 3 for The Ohio State University, College of Medicine, Research Information Technology, Columbus, Ohio. Hybrid or work-from-home permitted within the Columbus, Ohio Metropolitan Statistical area. Travel to university locations in Columbus, Ohio for meetings may be required.

Duties
  • Design, develop, and optimize secure, scalable biomedical research and health sciences applications that operate on very large datasets at enterprise scale
  • Perform software engineering and data engineering that supports translational and biomedical research through robust, high-performance application and data platforms
  • Serve as a technical contributor responsible for designing, independently developing, and supporting enterprise-grade healthcare and research software applications, APIs, and services
  • Build scalable backend services that integrate with large data platforms and research systems, and as needed develop frontend applications that support researchers, analysts, and operational stakeholders
  • Design, build, and maintain production-grade data engineering solutions that support healthcare and research use cases
  • Develop secure, scalable ETL and ELT pipelines for ingesting, transforming, and curating large, complex datasets using modern data architectures, including medallion architecture (Bronze, Silver, Gold)
  • Leverage modern data engineering platforms such as the Databricks Data Intelligence Platform to process large-scale batch and streaming workloads using Python and SQL
  • Develop and support solutions across cloud-based platforms (e.g., Azure, AWS), data engineering platforms (e.g. Databricks, Fabric) and high-performance computing (HPC) or supercomputing environments
  • Work with infrastructure, platform, and DevOps teams to configure, deploy, and operate applications and data pipelines across hybrid computing environments
  • Stay current with emerging technologies and best practices
Requirements

Bachelor’s degree in Computer Science, Data Science, Software Engineering, Data Engineering, Health Informatics, or a related field; 5 years of combined professional experience in software development and data engineering. That 5 years of experience must have included all of the following: building secure, scalable software applications and data engineering pipelines in enterprise biomedical research or healthcare environments; development using one or more programming languages (such as Python, Java) and SQL, including experience processing large datasets using distributed computing frameworks; development using cloud-based platforms and familiarity with high-performance computing (HPC) or other distributed environments. (All experience may have been part-time, concurrent, and/or concurrent with education.) Requires successful completion of a background check. EOE/AA/M/F/Vet/Disability Employer.

Additional Information:

Location: Hamilton Hall (0038)

Position Type: Regular

Scheduled Hours: 40

Final candidates are subject to successful completion of a background check. A drug screen or physical may be required during the post offer process.

The university is an equal opportunity employer, including veterans and disability.

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